CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer.

Rebecca Lee; Oskar Wysocki; Cong Zhou; Antonio Calles; Leonie Eastlake; Sarju Ganatra; Michelle Harrison; Laura Horsley; Prerana Huddar; Khurum Khan; Hayley Mckenzie; Carlo Palmieri; Jacobo Rogado Revuelta; Anne Thomas; Caroline Wilson; Tim Cooksley; Caroline Dive; Andre Freitas; Anne Caroline Armstrong

doi:10.1200/JCO.2021.39.15_suppl.1505

CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer.

Rebecca Lee, Oskar Wysocki, Cong Zhou, Antonio Calles, Leonie Eastlake, Sarju Ganatra, Michelle Harrison, Laura Horsley, Prerana Huddar, Khurum Khan, Hayley Mckenzie, Carlo Palmieri, Jacobo Rogado Revuelta, Anne Thomas, Caroline Wilson, Tim Cooksley, Caroline Dive, Andre Freitas, Anne Caroline Armstrong

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Pages (from-to)	1505-1505
Journal	Journal of Clinical Oncology
Volume	39
Issue number	15_suppl
DOIs	https://doi.org/10.1200/JCO.2021.39.15_suppl.1505
Publication status	Published - 20 May 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1200/JCO.2021.39.15_suppl.1505

Online tool (CORONET) created to support clinical decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 and the likely severity of illness
Lee, R. (Corresponding participant), Dive, C. (Participant) & Armstrong, A. (Participant)
Impact: Health and wellbeing

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Lee, R., Wysocki, O., Zhou, C., Calles, A., Eastlake, L., Ganatra, S., Harrison, M., Horsley, L., Huddar, P., Khan, K., Mckenzie, H., Palmieri, C., Rogado Revuelta, J., Thomas, A., Wilson, C., Cooksley, T., Dive, C., Freitas, A., & Armstrong, A. C. (2021). CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer. Journal of Clinical Oncology, 39(15_suppl), 1505-1505. https://doi.org/10.1200/JCO.2021.39.15_suppl.1505

@article{7cd2e7fe041e4dc5b0cfc8a7da41796f,

title = "CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer.",

author = "Rebecca Lee and Oskar Wysocki and Cong Zhou and Antonio Calles and Leonie Eastlake and Sarju Ganatra and Michelle Harrison and Laura Horsley and Prerana Huddar and Khurum Khan and Hayley Mckenzie and Carlo Palmieri and {Rogado Revuelta}, Jacobo and Anne Thomas and Caroline Wilson and Tim Cooksley and Caroline Dive and Andre Freitas and Armstrong, {Anne Caroline}",

year = "2021",

month = may,

day = "20",

doi = "10.1200/JCO.2021.39.15_suppl.1505",

language = "English",

volume = "39",

pages = "1505--1505",

journal = "Journal of Clinical Oncology",

issn = "0732-183X",

publisher = "Lippincott Williams & Wilkins",

number = "15_suppl",

}

Lee, R, Wysocki, O, Zhou, C, Calles, A, Eastlake, L, Ganatra, S, Harrison, M, Horsley, L, Huddar, P, Khan, K, Mckenzie, H, Palmieri, C, Rogado Revuelta, J, Thomas, A, Wilson, C, Cooksley, T, Dive, C, Freitas, A & Armstrong, AC 2021, 'CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer.', Journal of Clinical Oncology, vol. 39, no. 15_suppl, pp. 1505-1505. https://doi.org/10.1200/JCO.2021.39.15_suppl.1505

TY - JOUR

T1 - CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer.

AU - Lee, Rebecca

AU - Wysocki, Oskar

AU - Zhou, Cong

AU - Calles, Antonio

AU - Eastlake, Leonie

AU - Ganatra, Sarju

AU - Harrison, Michelle

AU - Horsley, Laura

AU - Huddar, Prerana

AU - Khan, Khurum

AU - Mckenzie, Hayley

AU - Palmieri, Carlo

AU - Rogado Revuelta, Jacobo

AU - Thomas, Anne

AU - Wilson, Caroline

AU - Cooksley, Tim

AU - Dive, Caroline

AU - Freitas, Andre

AU - Armstrong, Anne Caroline

PY - 2021/5/20

Y1 - 2021/5/20

U2 - 10.1200/JCO.2021.39.15_suppl.1505

DO - 10.1200/JCO.2021.39.15_suppl.1505

M3 - Meeting Abstract

SN - 0732-183X

VL - 39

SP - 1505

EP - 1505

JO - Journal of Clinical Oncology

JF - Journal of Clinical Oncology

IS - 15_suppl

ER -

CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer.

UN SDGs

Access to Document

Impacts

Online tool (CORONET) created to support clinical decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 and the likely severity of illness

Cite this